IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation.
Luciano DyballaSteven W. ZuckerPublished in: CoRR (2022)
Keyphrases
- manifold learning
- dimensionality reduction
- high dimensional
- intrinsic dimensionality
- low dimensional
- low dimensional manifolds
- high dimensional data
- nonlinear dimensionality reduction
- diffusion maps
- semi supervised
- feature space
- dimension reduction
- laplacian eigenmaps
- manifold learning algorithm
- head pose estimation
- subspace learning
- lower dimensional
- linear discriminant analysis
- sparse representation
- nonlinear manifold
- locality preserving
- geodesic distance
- locality preserving projections
- discriminant projection
- manifold structure
- high dimensionality
- dimensionality reduction methods
- input space
- unsupervised learning
- high dimensional spaces
- neural network
- pattern recognition
- feature extraction
- feature selection